Difference between revisions of "DM Tools"

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(Created page with "{{Entry |Name=DM Tools |Short description=Data mining applications written in Python |Full description=DMTools is an ongoing project to develop a data mining toolbox written in P...")
 
(updated homepage to archived version and set to historical)
 
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|Short description=Data mining applications written in Python
 
|Short description=Data mining applications written in Python
 
|Full description=DMTools is an ongoing project to develop a data mining toolbox written in Python. Two core features of the toolbox are caching of database queries and parallelism within a collection of independent queries. Our toolbox provides a number of routines for basic data mining tasks on top of which the user can add more functions - mainly domain and data collection dependent - for complex and time consuming data mining tasks.
 
|Full description=DMTools is an ongoing project to develop a data mining toolbox written in Python. Two core features of the toolbox are caching of database queries and parallelism within a collection of independent queries. Our toolbox provides a number of routines for basic data mining tasks on top of which the user can add more functions - mainly domain and data collection dependent - for complex and time consuming data mining tasks.
 +
|Homepage URL=https://web.archive.org/web/20150921163342/datamining.anu.edu.au/software/dmtools/
 
|User level=none
 
|User level=none
|Status=Live
 
|Component programs=
 
|Homepage URL=http://datamining.anu.edu.au/software/dmtools/
 
|VCS checkout command=
 
 
|Computer languages=Python
 
|Computer languages=Python
|Documentation note=
 
|Paid support=
 
|IRC help=
 
|IRC general=
 
|IRC development=
 
|Related projects=
 
 
|Keywords=database,Python,data mining,DM Tools,caching.py,database.py,aggregation.py
 
|Keywords=database,Python,data mining,DM Tools,caching.py,database.py,aggregation.py
|Is GNU=n
 
|Last review by=Janet Casey
 
|Last review date=2001-07-25
 
|Submitted by=Database conversion
 
|Submitted date=2011-04-01
 
 
|Version identifier=1.0
 
|Version identifier=1.0
 
|Version date=2001-03-14
 
|Version date=2001-03-14
|Version status=stable
+
|Version status=historical
|Version download=http://datamining.anu.edu.au/software/dmtools/dmtools.tgz
+
|Version download=https://web.archive.org/web/20150921163635/http://datamining.anu.edu.au/software/dmtools/dmtools.tgz
 +
|Last review by=Dan Munro
 +
|Last review date=2017/11/01
 +
|Submitted date=2011-04-01
 +
|Is GNU=No
 +
|License verified date=2001-07-09
 +
}}
 +
{{Project license
 +
|License=GPLv2orlater
 +
|License verified by=Janet Casey
 
|License verified date=2001-07-09
 
|License verified date=2001-07-09
|Version comment=1.0 stable released 2001-03-14
 
 
}}
 
}}
 
{{Person
 
{{Person
 +
|Real name=Ole M. Nielsen
 
|Role=Maintainer
 
|Role=Maintainer
|Real name=Ole M. Nielsen
 
|Email=Ole.Nielsen@anu.edu.au
 
|Resource URL=
 
 
}}
 
}}
 
{{Person
 
{{Person
 +
|Real name=Tatiana Semenova
 
|Role=Contributor
 
|Role=Contributor
|Real name=Tatiana Semenova
 
|Email=
 
|Resource URL=
 
 
}}
 
}}
 
{{Person
 
{{Person
 +
|Real name=Timothy Hancock
 
|Role=Contributor
 
|Role=Contributor
|Real name=Timothy Hancock
 
|Email=
 
|Resource URL=
 
}}
 
{{Resource
 
|Resource audience=Bug Tracking,Developer,Support
 
|Resource kind=E-mail
 
|Resource URL=mailto:Ole.Nielsen@anu.edu.au
 
 
}}
 
}}
 
{{Software category
 
{{Software category
 
|Database=sql
 
|Database=sql
 
|Interface=command-line
 
|Interface=command-line
|Works-with=database,sql
+
|Works-with=database, sql
}}
 
{{Project license
 
|License=GPLv2orlater
 
|License verified by=Janet Casey
 
|License verified date=2001-07-09
 
 
}}
 
}}
 
{{Software prerequisite
 
{{Software prerequisite
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|Prerequisite description=zlib
 
|Prerequisite description=zlib
 
}}
 
}}
 +
{{Featured}}

Latest revision as of 14:29, 1 November 2017

[edit]

DM Tools

https://web.archive.org/web/20150921163342/datamining.anu.edu.au/software/dmtools/
Data mining applications written in Python

DMTools is an ongoing project to develop a data mining toolbox written in Python. Two core features of the toolbox are caching of database queries and parallelism within a collection of independent queries. Our toolbox provides a number of routines for basic data mining tasks on top of which the user can add more functions - mainly domain and data collection dependent - for complex and time consuming data mining tasks.





Licensing

License

Verified by

Verified on

Notes

Verified by

Janet Casey

Verified on

9 July 2001




Leaders and contributors

Contact(s)Role
Tatiana Semenova Contributor
Timothy Hancock Contributor
Ole M. Nielsen Maintainer


Resources and communication

Software prerequisites

KindDescription
Required to usePython
Required to useMySQL-type database with a Python database module available
Weak prerequisitezlib

This entry (in part or in whole) was last reviewed on 1 November 2017.



Entry





Property "Submitted by" (as page type) with input value "{{{Submitted by}}}" contains invalid characters or is incomplete and therefore can cause unexpected results during a query or annotation process.





























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